An Approach for Quantum Computing using Adiabatic Evolution Algorithm

Shigeo Sato, Mitsunaga Kinjo, Koji Nakajima

研究成果: Article査読

17 被引用数 (Scopus)

抄録

A quantum computer employing a single quantum as a qubit executes real parallel computation and has various applications. Several algorithms have been proposed for quantum computation. However, these algorithms are applicable only to a limited number of applications. Therefore, a general purpose algorithm should be studied and developed for practical use in the near future. In this paper, we focus on the adiabatic evolution algorithm for general purpose quantum computation and discuss how to use this algorithm for solving an optimization problem. We show a new algorithm incorporating an artificial neural network (ANN)-like method in order to compose another Hamiltonian. The new algorithm is helpful for reducing computation cost and is easy to implement. Successful simulation results are shown.

本文言語English
ページ(範囲)7169-7173
ページ数5
ジャーナルJapanese Journal of Applied Physics, Part 1: Regular Papers and Short Notes and Review Papers
42
11
出版ステータスPublished - 2003 11 1

ASJC Scopus subject areas

  • 工学(全般)
  • 物理学および天文学(全般)

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